## Loading required package: pacman
Dataset manipulation in ‘bl_schisto_long_25052024_BW’.
## [1] "HBV"
## [1] 799
## No variable names specified - using all columns.
## No duplicate combinations found of: pid, cca_res, cca_bl_date, fibs_med_res, fibs_iqr_res, cap_med_res, cap_iqr_res
## # A tibble: 0 × 8
## # ℹ 8 variables: pid <chr>, cca_res <fct>, cca_bl_date <date>,
## # fibs_med_res <dbl>, fibs_iqr_res <dbl>, cap_med_res <dbl>,
## # cap_iqr_res <dbl>, dupe_count <int>
## No variable names specified - using all columns.
## No duplicate combinations found of: pid, enrol_d, cca_res, cca_bl_date, fibs_med, fibs_iqr, cap_med, cap_iqr
## # A tibble: 0 × 9
## # ℹ 9 variables: pid <chr>, enrol_d <date>, cca_res <fct>, cca_bl_date <date>,
## # fibs_med <dbl>, fibs_iqr <dbl>, cap_med <dbl>, cap_iqr <dbl>,
## # dupe_count <int>
## SENB1082, SENB1205, SENB1212, SENB1225, SENB1227, SENB1241, SENB1275, SENB1280, SENB1281, SENB1492, SENB1496, SENB1512, SENB1536, SENB1541, SENB1555, SENB1608, SENB1632, SENB1705, SENB2001, SENB2003, SENB2006, SENB2008, SENB2009, SENB2010, SENB2011, SENB2014, SENB2015, SENB2016, SENB2017, SENB2018, SENB2019, SENB2021, SENB2022, SENB2024, SENB2025, SENB2026, SENB2028, SENB2029, SENB2030, SENB2031, SENB2032, SENB2033, SENB2034, SENB2035, SENB2038, SENB2040, SENB2041, SENB2042, SENB2043, SENB2044, SENB2045, SENB2049, SENB2050, SENB2051, SENB2053, SENB2054, SENB2056, SENB2092, SENB2106, SENB2107, SENB2108, SENB2109, SENB2111, SENB2112, SENB2116, SENB2121, SENB2124, SENB2146, SENB2148, SENB2149, SENB2150, SENB2151, SENB2152, SENB2153, SENB2154, SENB2155, SENB2156, SENB2157, SENB2158, SENB2159, SENB2160, SENB2161, SENB2162, SENB2163, SENB2164, SENB2165, SENB2166, SENB2167, SENB2168, SENB2174, SENB2175, SENB2176, SENB2177, SENB2178, SENB2179, SENB2180, SENB2181, SENB2182, SENB2183, SENB2184, SENB2185, SENB2186, SENB2187, SENB2188, SENB2189, SENB2190, SENB2191, SENB2192, SENB2193, SENB2194, SENB2195, SENB2196, SENB2197, SENB2198, SENB2199, SENB2200, SENB2201, SENB2202, SENB2203, SENB2204, SENB2205, SENB2206, SENB2207, SENB2208, SENB2209, SENB2217, SENB2218
## Joining with `by = join_by(pid, enrol_d, cca_res, fibs_med, fibs_iqr, cap_med,
## cap_iqr)`
## No variable names specified - using all columns.
## No duplicate combinations found of: pid, cca_res, cca_bl_date, fibs_med, fibs_iqr, cap_med, cap_iqr
## # A tibble: 0 × 8
## # ℹ 8 variables: pid <chr>, cca_res <fct>, cca_bl_date <date>, fibs_med <dbl>,
## # fibs_iqr <dbl>, cap_med <dbl>, cap_iqr <dbl>, dupe_count <int>
## age_en n percent
## 18-31 384 48.06%
## >31 415 51.94%
## Total 799 100.00%
## sex n percent
## Male 427 53.44%
## Female 372 46.56%
## Total 799 100.00%
## orig_endemicity n percent valid_percent
## 1-9.9% prevalence (low) 183 22.90% 22.93%
## 10-49% prevalence (moderate) 245 30.66% 30.70%
## <1% prevalence (non-endemic) 273 34.17% 34.21%
## Other Country 17 2.13% 2.13%
## ≥50% prevalence (high) 80 10.01% 10.03%
## <NA> 1 0.13% -
## Total 799 100.00% 100.00%
## reg_act n percent
## Dakar 642 80.35%
## Outside 157 19.65%
## Total 799 100.00%
## Warning in rm(list = "sociodemo1", "sociodemo2"): object 'sociodemo1' not found
## # A tibble: 22 × 2
## diabete glu_res
## <fct> <dbl>
## 1 yes 1.4
## 2 yes 1.96
## 3 yes 1.69
## 4 yes 0.7
## 5 yes 0.75
## 6 yes 2.2
## 7 yes 0.74
## 8 yes 2.43
## 9 yes 1.63
## 10 yes 0.86
## # ℹ 12 more rows
## alcohol_cons n percent
## no 744 93.12%
## yes_now 34 4.26%
## yes_past 21 2.63%
## Total 799 100.00%
## audit_cat n percent
## Misuse 15 1.88%
## Negative 784 98.12%
## Total 799 100.00%
## drugs n percent
## no 786 98.37%
## yes_now 0 0.00%
## yes_past 13 1.63%
## Total 799 100.00%
## smoke_yn n percent
## no 710 88.86%
## yes_now 18 2.25%
## yes_past 71 8.89%
## Total 799 100.00%
## HTA n percent
## no 607 75.97%
## yes 192 24.03%
## Total 799 100.00%
## diabete n percent
## no 777 97.25%
## yes 22 2.75%
## Total 799 100.00%
## BMI_cat n percent valid_percent
## normal weight 459 57.45% 58.03%
## obesity 59 7.38% 7.46%
## overweight 156 19.52% 19.72%
## underweight 117 14.64% 14.79%
## <NA> 8 1.00% -
## Total 799 100.00% 100.00%
## dyslipidemia n percent
## no 482 60.33%
## yes 317 39.67%
## Total 799 100.00%
## COL n percent
## no 796 99.62%
## yes 3 0.38%
## Total 799 100.00%
## AVC n percent
## no 799 100.00%
## yes 0 0.00%
## Total 799 100.00%
## renal n percent
## no 799 100.00%
## yes 0 0.00%
## Total 799 100.00%
## cancer n percent
## no 798 99.87%
## yes 1 0.13%
## Total 799 100.00%
## liver_dis_FDR n percent
## no 784 98.12%
## yes 15 1.88%
## Total 799 100.00%
## hcc_FDR n percent
## no 698 87.36%
## yes 101 12.64%
## Total 799 100.00%
I forgot to add the “dipstick EtG” variable…
## # A tibble: 799 × 224
## pid hiv_status enrol_d center med sen_yn country_orig region_orig
## <chr> <chr> <date> <fct> <chr> <fct> <fct> <fct>
## 1 SENB1002 HBV 2019-09-30 SMIT 1 yes <NA> Fatick
## 2 SENB1003 HBV 2019-10-01 SMIT 1 yes <NA> Dakar
## 3 SENB1004 HBV 2019-10-01 SMIT 1 yes <NA> Dakar
## 4 SENB1005 HBV 2019-10-01 SMIT 1 yes <NA> Dakar
## 5 SENB1006 HBV 2019-10-01 SMIT 1 yes <NA> Dakar
## 6 SENB1007 HBV 2019-10-02 SMIT 1 yes <NA> Ziguinchor
## 7 SENB1008 HBV 2019-10-02 SMIT 1 yes <NA> Kaolack
## 8 SENB1009 HBV 2019-10-02 SMIT 1 yes <NA> Louga
## 9 SENB1010 HBV 2019-10-02 SMIT 1 yes <NA> Diurbel
## 10 SENB1011 HBV 2019-10-02 SMIT 1 no Mali <NA>
## # ℹ 789 more rows
## # ℹ 216 more variables: dpt_orig <fct>, res_time <dbl>, reg_act <fct>,
## # dpt_act <fct>, birth_d <date>, age_en <dbl>, sex <fct>, rank <dbl>,
## # marital <fct>, union <fct>, child <dbl>, education <fct>, employ <fct>,
## # other_employ <chr>, health_ins <fct>, hiv_yn <fct>, type_HIV <chr>,
## # hiv_test1 <fct>, hiv_test1_date <date>, hiv_test2 <fct>,
## # hiv_test2_date <date>, CD4_last <dbl>, CD4_last_date <date>, …
## screen_d n percent
## 2019 82 10.26%
## 2020 59 7.38%
## 2021 409 51.19%
## 2022 243 30.41%
## 2023 6 0.75%
## Total 799 100.00%
## cvb_detection n percent
## 2001-20000 IU/mL 144 18.02%
## 21-2000 IU/mL 435 54.44%
## ≤20 IU/mL 150 18.77%
## ≥20000 IU/mL 70 8.76%
## Total 799 100.00%
## qAgHBs_cat n percent
## 100-1000 IU/mL 101 12.64%
## <100 IU/mL 71 8.89%
## >1000 IU/mL 627 78.47%
## Total 799 100.00%
## AgHBe_res n percent
## Positive 19 2.38%
## Negative 780 97.62%
## Total 799 100.00%
## AcVHC_res n percent
## Positive 2 0.25%
## Negative 797 99.75%
## Total 799 100.00%
## AcVHD_res n percent valid_percent
## Positive 10 1.25% 1.25%
## Negative 787 98.50% 98.75%
## <NA> 2 0.25% -
## Total 799 100.00% 100.00%
## on_TDF_bl n percent valid_percent
## FALSE 175 0.21902378 0.7777778
## TRUE 50 0.06257822 0.2222222
## NA 574 0.71839800 NA
## on_TDF_bl n percent
## No 749 93.74%
## Yes 50 6.26%
## Total 799 100.00%
## Warning: There was 1 warning in `summarise()`.
## ℹ In argument: `CI95 = list(...)`.
## Caused by warning:
## ! 'tidy.numeric' is deprecated.
## See help("Deprecated")
## [1] 291.5
## [1] 30.35
## [1] 2455.8
## alt_res n percent
## 41-80 IU/L 38 4.76%
## >80 IU/L 14 1.75%
## ≤40 IU/L 747 93.49%
## Total 799 100.00%
## apri_diag n percent
## Fibrosis 8 1.00%
## No Fibrosis 770 96.37%
## Unknown 21 2.63%
## Total 799 100.00%
## fibs_med_diag n percent
## F0-1 (no or mild fibrosis) 706 88.36%
## F2–3 (significant fibrosis) 62 7.76%
## F4 (cirrhosis) 31 3.88%
## Total 799 100.00%
## fibs7 n percent
## <7.0 kPa 706 88.36%
## ≥7.1 kPa 93 11.64%
## Total 799 100.00%
## fibs11 n percent
## <11.0 kPa 768 96.12%
## ≥11.1 kPa 31 3.88%
## Total 799 100.00%
## cap_med_diag n percent
## Normal 731 91.49%
## SLD 68 8.51%
## Total 799 100.00%
## upcr_diag n percent
## Normal (≤0.2 mg/mg) 48 6.01%
## Proteinuria (>0.2 mg/mg) 751 93.99%
## Total 799 100.00%
## leubu_res n percent valid_percent
## Leukocyturia 230 28.79% 28.86%
## Normal 567 70.96% 71.14%
## <NA> 2 0.25% -
## Total 799 100.00% 100.00%
## hembu_res n percent valid_percent
## Hematuria 97 12.14% 12.17%
## Normal 700 87.61% 87.83%
## <NA> 2 0.25% -
## Total 799 100.00% 100.00%
## protbu_res n percent valid_percent
## Normal 680 85.11% 85.32%
## Proteinuria 117 14.64% 14.68%
## <NA> 2 0.25% -
## Total 799 100.00% 100.00%
## # A tibble: 799 × 224
## pid hiv_status enrol_d center med sen_yn country_orig region_orig
## <chr> <chr> <date> <fct> <chr> <fct> <fct> <fct>
## 1 SENB1002 HBV 2019-09-30 SMIT 1 yes <NA> Fatick
## 2 SENB1003 HBV 2019-10-01 SMIT 1 yes <NA> Dakar
## 3 SENB1004 HBV 2019-10-01 SMIT 1 yes <NA> Dakar
## 4 SENB1005 HBV 2019-10-01 SMIT 1 yes <NA> Dakar
## 5 SENB1006 HBV 2019-10-01 SMIT 1 yes <NA> Dakar
## 6 SENB1007 HBV 2019-10-02 SMIT 1 yes <NA> Ziguinchor
## 7 SENB1008 HBV 2019-10-02 SMIT 1 yes <NA> Kaolack
## 8 SENB1009 HBV 2019-10-02 SMIT 1 yes <NA> Louga
## 9 SENB1010 HBV 2019-10-02 SMIT 1 yes <NA> Diurbel
## 10 SENB1011 HBV 2019-10-02 SMIT 1 no Mali <NA>
## # ℹ 789 more rows
## # ℹ 216 more variables: dpt_orig <fct>, res_time <dbl>, reg_act <fct>,
## # dpt_act <fct>, birth_d <date>, age_en <dbl>, sex <fct>, rank <dbl>,
## # marital <fct>, union <fct>, child <dbl>, education <fct>, employ <fct>,
## # other_employ <chr>, health_ins <fct>, hiv_yn <fct>, type_HIV <chr>,
## # hiv_test1 <fct>, hiv_test1_date <date>, hiv_test2 <fct>,
## # hiv_test2_date <date>, CD4_last <dbl>, CD4_last_date <date>, …
## trad_med n percent
## None 529 66.21%
## Oil/Powder 3 0.38%
## Plant 267 33.42%
## Total 799 100.00%
## eGFR_diag n percent
## 15-60 73 9.14%
## ≥60 726 90.86%
## Total 799 100.00%
## [1] "The prevalence of schistosomiasis among people living with HBV in Dakar is 8.3%"
| Variable | Male, N = 4271 | Female, N = 3721 | Total (N = 799)1 | p-value2 |
|---|---|---|---|---|
| Screening Year | 0.46 | |||
| 2019 | 40 / 427 (9.4%) | 42 / 372 (11%) | 82 / 799 (10%) | |
| 2020 | 30 / 427 (7.0%) | 29 / 372 (7.8%) | 59 / 799 (7.4%) | |
| 2021 | 226 / 427 (53%) | 183 / 372 (49%) | 409 / 799 (51%) | |
| 2022 | 126 / 427 (30%) | 117 / 372 (31%) | 243 / 799 (30%) | |
| 2023 | 5 / 427 (1.2%) | 1 / 372 (0.3%) | 6 / 799 (0.8%) | |
| Age | 0.98 | |||
| 18-31 | 205 / 427 (48%) | 179 / 372 (48%) | 384 / 799 (48%) | |
| >31 | 222 / 427 (52%) | 193 / 372 (52%) | 415 / 799 (52%) | |
| Origin | 0.10 | |||
| <1% prevalence (non-endemic) | 130 / 427 (30%) | 143 / 371 (39%) | 273 / 798 (34%) | |
| 1-9.9% prevalence (low) | 105 / 427 (25%) | 78 / 371 (21%) | 183 / 798 (23%) | |
| 10-49% prevalence (moderate) | 137 / 427 (32%) | 108 / 371 (29%) | 245 / 798 (31%) | |
| ≥50% prevalence (high) | 48 / 427 (11%) | 32 / 371 (8.6%) | 80 / 798 (10%) | |
| Other Country | 7 / 427 (1.6%) | 10 / 371 (2.7%) | 17 / 798 (2.1%) | |
| Residence | 0.49 | |||
| Dakar | 347 / 427 (81%) | 295 / 372 (79%) | 642 / 799 (80%) | |
| Outside | 80 / 427 (19%) | 77 / 372 (21%) | 157 / 799 (20%) | |
| Alcohol Consumption | 0.002 | |||
| Yes_past | 18 / 404 (4.5%) | 3 / 361 (0.8%) | 21 / 765 (2.7%) | |
| No | 386 / 404 (96%) | 358 / 361 (99%) | 744 / 765 (97%) | |
| AUDIT-C Score | 0.037 | |||
| Misuse | 12 / 427 (2.8%) | 3 / 372 (0.8%) | 15 / 799 (1.9%) | |
| Negative | 415 / 427 (97%) | 369 / 372 (99%) | 784 / 799 (98%) | |
| Dipstick EtG | 0.49 | |||
| Positive | 73 / 392 (19%) | 68 / 329 (21%) | 141 / 721 (20%) | |
| Negative | 319 / 392 (81%) | 261 / 329 (79%) | 580 / 721 (80%) | |
| Drug Consumption | <0.001 | |||
| Yes_now | 0 / 427 (0%) | 0 / 372 (0%) | 0 / 799 (0%) | |
| Yes_past | 13 / 427 (3.0%) | 0 / 372 (0%) | 13 / 799 (1.6%) | |
| No | 414 / 427 (97%) | 372 / 372 (100%) | 786 / 799 (98%) | |
| Smoking | <0.001 | |||
| Yes_now | 16 / 427 (3.7%) | 2 / 372 (0.5%) | 18 / 799 (2.3%) | |
| Yes_past | 69 / 427 (16%) | 2 / 372 (0.5%) | 71 / 799 (8.9%) | |
| No | 342 / 427 (80%) | 368 / 372 (99%) | 710 / 799 (89%) | |
| Hypertension | 109 / 427 (26%) | 83 / 372 (22%) | 192 / 799 (24%) | 0.29 |
| Diabetes | 13 / 427 (3.0%) | 9 / 372 (2.4%) | 22 / 799 (2.8%) | 0.59 |
| BMI | <0.001 | |||
| Normal Weight | 289 / 426 (68%) | 170 / 365 (47%) | 459 / 791 (58%) | |
| Underweight | 73 / 426 (17%) | 44 / 365 (12%) | 117 / 791 (15%) | |
| Overweight | 58 / 426 (14%) | 98 / 365 (27%) | 156 / 791 (20%) | |
| Obesity | 6 / 426 (1.4%) | 53 / 365 (15%) | 59 / 791 (7.5%) | |
| Dyslipidemia | 160 / 427 (37%) | 157 / 372 (42%) | 317 / 799 (40%) | 0.17 |
| Family History of Liver Disease | 8 / 427 (1.9%) | 7 / 372 (1.9%) | 15 / 799 (1.9%) | >0.99 |
| Family History of HCC | 45 / 427 (11%) | 56 / 372 (15%) | 101 / 799 (13%) | 0.055 |
| HBV viral load | 0.081 | |||
| ≤20 IU/mL | 69 / 427 (16%) | 81 / 372 (22%) | 150 / 799 (19%) | |
| 21-2000 IU/mL | 235 / 427 (55%) | 200 / 372 (54%) | 435 / 799 (54%) | |
| 2001-20000 IU/mL | 78 / 427 (18%) | 66 / 372 (18%) | 144 / 799 (18%) | |
| ≥20000 IU/mL | 45 / 427 (11%) | 25 / 372 (6.7%) | 70 / 799 (8.8%) | |
| qAgHBs | 0.81 | |||
| <100 IU/mL | 38 / 427 (8.9%) | 33 / 372 (8.9%) | 71 / 799 (8.9%) | |
| 100-1000 IU/mL | 57 / 427 (13%) | 44 / 372 (12%) | 101 / 799 (13%) | |
| >1000 IU/mL | 332 / 427 (78%) | 295 / 372 (79%) | 627 / 799 (78%) | |
| AgHBe | 0.073 | |||
| Positive | 14 / 427 (3.3%) | 5 / 372 (1.3%) | 19 / 799 (2.4%) | |
| Negative | 413 / 427 (97%) | 367 / 372 (99%) | 780 / 799 (98%) | |
| HCV Serology | 0.50 | |||
| Positive | 2 / 427 (0.5%) | 0 / 372 (0%) | 2 / 799 (0.3%) | |
| Negative | 425 / 427 (100%) | 372 / 372 (100%) | 797 / 799 (100%) | |
| HDV Serology | 0.76 | |||
| Positive | 6 / 427 (1.4%) | 4 / 370 (1.1%) | 10 / 797 (1.3%) | |
| Negative | 421 / 427 (99%) | 366 / 370 (99%) | 787 / 797 (99%) | |
| On TDF at Baseline | 31 / 427 (7.3%) | 19 / 372 (5.1%) | 50 / 799 (6.3%) | 0.21 |
| ALAT | 0.024 | |||
| ≤40 IU/L | 390 / 427 (91%) | 357 / 372 (96%) | 747 / 799 (93%) | |
| 41-80 IU/L | 26 / 427 (6.1%) | 12 / 372 (3.2%) | 38 / 799 (4.8%) | |
| >80 IU/L | 11 / 427 (2.6%) | 3 / 372 (0.8%) | 14 / 799 (1.8%) | |
| APRI Score | 0.015 | |||
| Fibrosis | 6 / 427 (1.4%) | 2 / 372 (0.5%) | 8 / 799 (1.0%) | |
| No Fibrosis | 404 / 427 (95%) | 366 / 372 (98%) | 770 / 799 (96%) | |
| Unknown | 17 / 427 (4.0%) | 4 / 372 (1.1%) | 21 / 799 (2.6%) | |
| FibroScan LSM | <0.001 | |||
| F0-1 (no or mild fibrosis) | 347 / 427 (81%) | 359 / 372 (97%) | 706 / 799 (88%) | |
| F2–3 (significant fibrosis) | 51 / 427 (12%) | 11 / 372 (3.0%) | 62 / 799 (7.8%) | |
| F4 (cirrhosis) | 29 / 427 (6.8%) | 2 / 372 (0.5%) | 31 / 799 (3.9%) | |
| FibroScan CAP | 0.55 | |||
| SLD | 34 / 427 (8.0%) | 34 / 372 (9.1%) | 68 / 799 (8.5%) | |
| Normal | 393 / 427 (92%) | 338 / 372 (91%) | 731 / 799 (91%) | |
| UPCR Ratio | >0.99 | |||
| Proteinuria (>0.2 mg/mg) | 393 / 393 (100%) | 358 / 358 (100%) | 751 / 751 (100%) | |
| Normal (<0.2 mg/mg) | 0 / 393 (0%) | 0 / 358 (0%) | 0 / 751 (0%) | |
| Leukocyturia (Urine Strips) | <0.001 | |||
| Leukocyturia | 57 / 426 (13%) | 173 / 371 (47%) | 230 / 797 (29%) | |
| Normal | 369 / 426 (87%) | 198 / 371 (53%) | 567 / 797 (71%) | |
| Hematuria (Urine Strips) | <0.001 | |||
| Hematuria | 29 / 426 (6.8%) | 68 / 371 (18%) | 97 / 797 (12%) | |
| Normal | 397 / 426 (93%) | 303 / 371 (82%) | 700 / 797 (88%) | |
| Proteinuria (Urine Strips) | 0.62 | |||
| Proteinuria | 65 / 426 (15%) | 52 / 371 (14%) | 117 / 797 (15%) | |
| Normal | 361 / 426 (85%) | 319 / 371 (86%) | 680 / 797 (85%) | |
| Traditional Medicine | 0.61 | |||
| Plant | 148 / 427 (35%) | 119 / 372 (32%) | 267 / 799 (33%) | |
| Oil/Powder | 2 / 427 (0.5%) | 1 / 372 (0.3%) | 3 / 799 (0.4%) | |
| None | 277 / 427 (65%) | 252 / 372 (68%) | 529 / 799 (66%) | |
| eGFR | <0.001 | |||
| ≥60 | 406 / 427 (95%) | 320 / 372 (86%) | 726 / 799 (91%) | |
| 15-60 | 21 / 427 (4.9%) | 52 / 372 (14%) | 73 / 799 (9.1%) | |
| CCA Result | 0.52 | |||
| Positive | 30 / 389 (7.7%) | 30 / 332 (9.0%) | 60 / 721 (8.3%) | |
| Negative | 359 / 389 (92%) | 302 / 332 (91%) | 661 / 721 (92%) | |
| 1 n / N (%) | ||||
| 2 Fisher’s exact test; Pearson’s Chi-squared test | ||||
## 78 observations missing `cca_res` have been removed. To include these observations, use `forcats::fct_na_value_to_level()` on `cca_res` column before passing to `tbl_summary()`.
| Variable | CCA Result | Total (N = 721)1 | p-value2 | |
|---|---|---|---|---|
| Positive, N = 601 | Negative, N = 6611 | |||
| Screening Year | <0.001 | |||
| 2019 | 20 / 60 (33%) | 61 / 661 (9.2%) | 81 / 721 (11%) | |
| 2020 | 2 / 60 (3.3%) | 57 / 661 (8.6%) | 59 / 721 (8.2%) | |
| 2021 | 36 / 60 (60%) | 343 / 661 (52%) | 379 / 721 (53%) | |
| 2022 | 2 / 60 (3.3%) | 195 / 661 (30%) | 197 / 721 (27%) | |
| 2023 | 0 / 60 (0%) | 5 / 661 (0.8%) | 5 / 721 (0.7%) | |
| Age | 0.42 | |||
| 18-31 | 32 / 60 (53%) | 317 / 661 (48%) | 349 / 721 (48%) | |
| >31 | 28 / 60 (47%) | 344 / 661 (52%) | 372 / 721 (52%) | |
| Sex | 0.52 | |||
| Male | 30 / 60 (50%) | 359 / 661 (54%) | 389 / 721 (54%) | |
| Female | 30 / 60 (50%) | 302 / 661 (46%) | 332 / 721 (46%) | |
| Origin | 0.69 | |||
| <1% prevalence (non-endemic) | 17 / 59 (29%) | 230 / 661 (35%) | 247 / 720 (34%) | |
| 1-9.9% prevalence (low) | 12 / 59 (20%) | 150 / 661 (23%) | 162 / 720 (23%) | |
| 10-49% prevalence (moderate) | 21 / 59 (36%) | 204 / 661 (31%) | 225 / 720 (31%) | |
| ≥50% prevalence (high) | 8 / 59 (14%) | 62 / 661 (9.4%) | 70 / 720 (9.7%) | |
| Other Country | 1 / 59 (1.7%) | 15 / 661 (2.3%) | 16 / 720 (2.2%) | |
| Residence | 0.22 | |||
| Dakar | 52 / 60 (87%) | 530 / 661 (80%) | 582 / 721 (81%) | |
| Outside | 8 / 60 (13%) | 131 / 661 (20%) | 139 / 721 (19%) | |
| Alcohol Consumption | >0.99 | |||
| Yes_past | 1 / 59 (1.7%) | 18 / 631 (2.9%) | 19 / 690 (2.8%) | |
| No | 58 / 59 (98%) | 613 / 631 (97%) | 671 / 690 (97%) | |
| AUDIT-C Score | >0.99 | |||
| Misuse | 1 / 60 (1.7%) | 12 / 661 (1.8%) | 13 / 721 (1.8%) | |
| Negative | 59 / 60 (98%) | 649 / 661 (98%) | 708 / 721 (98%) | |
| Dipstick EtG | 0.023 | |||
| Positive | 5 / 57 (8.8%) | 135 / 629 (21%) | 140 / 686 (20%) | |
| Negative | 52 / 57 (91%) | 494 / 629 (79%) | 546 / 686 (80%) | |
| Drug Consumption | >0.99 | |||
| Yes_now | 0 / 60 (0%) | 0 / 661 (0%) | 0 / 721 (0%) | |
| Yes_past | 1 / 60 (1.7%) | 10 / 661 (1.5%) | 11 / 721 (1.5%) | |
| No | 59 / 60 (98%) | 651 / 661 (98%) | 710 / 721 (98%) | |
| Smoking | 0.45 | |||
| Yes_now | 0 / 60 (0%) | 15 / 661 (2.3%) | 15 / 721 (2.1%) | |
| Yes_past | 7 / 60 (12%) | 57 / 661 (8.6%) | 64 / 721 (8.9%) | |
| No | 53 / 60 (88%) | 589 / 661 (89%) | 642 / 721 (89%) | |
| Hypertension | 11 / 60 (18%) | 164 / 661 (25%) | 175 / 721 (24%) | 0.26 |
| Diabetes | 2 / 60 (3.3%) | 18 / 661 (2.7%) | 20 / 721 (2.8%) | 0.68 |
| BMI | 0.87 | |||
| Normal Weight | 35 / 60 (58%) | 378 / 655 (58%) | 413 / 715 (58%) | |
| Underweight | 10 / 60 (17%) | 99 / 655 (15%) | 109 / 715 (15%) | |
| Overweight | 12 / 60 (20%) | 124 / 655 (19%) | 136 / 715 (19%) | |
| Obesity | 3 / 60 (5.0%) | 54 / 655 (8.2%) | 57 / 715 (8.0%) | |
| Dyslipidemia | 20 / 60 (33%) | 274 / 661 (41%) | 294 / 721 (41%) | 0.22 |
| Family History of Liver Disease | 0 / 60 (0%) | 12 / 661 (1.8%) | 12 / 721 (1.7%) | 0.61 |
| Family History of HCC | 5 / 60 (8.3%) | 86 / 661 (13%) | 91 / 721 (13%) | 0.30 |
| HBV viral load | 0.98 | |||
| ≤20 IU/mL | 10 / 60 (17%) | 123 / 661 (19%) | 133 / 721 (18%) | |
| 21-2000 IU/mL | 33 / 60 (55%) | 356 / 661 (54%) | 389 / 721 (54%) | |
| 2001-20000 IU/mL | 11 / 60 (18%) | 123 / 661 (19%) | 134 / 721 (19%) | |
| ≥20000 IU/mL | 6 / 60 (10%) | 59 / 661 (8.9%) | 65 / 721 (9.0%) | |
| qAgHBs | 0.35 | |||
| <100 IU/mL | 8 / 60 (13%) | 54 / 661 (8.2%) | 62 / 721 (8.6%) | |
| 100-1000 IU/mL | 6 / 60 (10%) | 85 / 661 (13%) | 91 / 721 (13%) | |
| >1000 IU/mL | 46 / 60 (77%) | 522 / 661 (79%) | 568 / 721 (79%) | |
| AgHBe | 0.65 | |||
| Positive | 2 / 60 (3.3%) | 15 / 661 (2.3%) | 17 / 721 (2.4%) | |
| Negative | 58 / 60 (97%) | 646 / 661 (98%) | 704 / 721 (98%) | |
| HCV Serology | >0.99 | |||
| Positive | 0 / 60 (0%) | 1 / 661 (0.2%) | 1 / 721 (0.1%) | |
| Negative | 60 / 60 (100%) | 660 / 661 (100%) | 720 / 721 (100%) | |
| HDV Serology | 0.50 | |||
| Positive | 1 / 59 (1.7%) | 7 / 660 (1.1%) | 8 / 719 (1.1%) | |
| Negative | 58 / 59 (98%) | 653 / 660 (99%) | 711 / 719 (99%) | |
| On TDF at Baseline | 2 / 60 (3.3%) | 41 / 661 (6.2%) | 43 / 721 (6.0%) | 0.57 |
| ALAT | >0.99 | |||
| ≤40 IU/L | 56 / 60 (93%) | 616 / 661 (93%) | 672 / 721 (93%) | |
| 41-80 IU/L | 3 / 60 (5.0%) | 33 / 661 (5.0%) | 36 / 721 (5.0%) | |
| >80 IU/L | 1 / 60 (1.7%) | 12 / 661 (1.8%) | 13 / 721 (1.8%) | |
| APRI Score | 0.30 | |||
| Fibrosis | 0 / 60 (0%) | 8 / 661 (1.2%) | 8 / 721 (1.1%) | |
| No Fibrosis | 57 / 60 (95%) | 638 / 661 (97%) | 695 / 721 (96%) | |
| Unknown | 3 / 60 (5.0%) | 15 / 661 (2.3%) | 18 / 721 (2.5%) | |
| FibroScan LSM | 0.14 | |||
| F0-1 (no or mild fibrosis) | 56 / 60 (93%) | 580 / 661 (88%) | 636 / 721 (88%) | |
| F2–3 (significant fibrosis) | 1 / 60 (1.7%) | 55 / 661 (8.3%) | 56 / 721 (7.8%) | |
| F4 (cirrhosis) | 3 / 60 (5.0%) | 26 / 661 (3.9%) | 29 / 721 (4.0%) | |
| FibroScan CAP | 0.14 | |||
| SLD | 2 / 60 (3.3%) | 59 / 661 (8.9%) | 61 / 721 (8.5%) | |
| Normal | 58 / 60 (97%) | 602 / 661 (91%) | 660 / 721 (92%) | |
| UPCR Ratio | >0.99 | |||
| Proteinuria (>0.2 mg/mg) | 60 / 60 (100%) | 618 / 618 (100%) | 678 / 678 (100%) | |
| Normal (<0.2 mg/mg) | 0 / 60 (0%) | 0 / 618 (0%) | 0 / 678 (0%) | |
| Leukocyturia (Urine Strips) | 0.88 | |||
| Leukocyturia | 17 / 60 (28%) | 193 / 659 (29%) | 210 / 719 (29%) | |
| Normal | 43 / 60 (72%) | 466 / 659 (71%) | 509 / 719 (71%) | |
| Hematuria (Urine Strips) | 0.67 | |||
| Hematuria | 6 / 60 (10%) | 78 / 659 (12%) | 84 / 719 (12%) | |
| Normal | 54 / 60 (90%) | 581 / 659 (88%) | 635 / 719 (88%) | |
| Proteinuria (Urine Strips) | 0.83 | |||
| Proteinuria | 10 / 60 (17%) | 103 / 659 (16%) | 113 / 719 (16%) | |
| Normal | 50 / 60 (83%) | 556 / 659 (84%) | 606 / 719 (84%) | |
| Traditional Medicine | 0.72 | |||
| Plant | 18 / 60 (30%) | 222 / 661 (34%) | 240 / 721 (33%) | |
| Oil/Powder | 0 / 60 (0%) | 2 / 661 (0.3%) | 2 / 721 (0.3%) | |
| None | 42 / 60 (70%) | 437 / 661 (66%) | 479 / 721 (66%) | |
| eGFR | 0.32 | |||
| ≥60 | 52 / 60 (87%) | 599 / 661 (91%) | 651 / 721 (90%) | |
| 15-60 | 8 / 60 (13%) | 62 / 661 (9.4%) | 70 / 721 (9.7%) | |
| 1 n / N (%) | ||||
| 2 Fisher’s exact test; Pearson’s Chi-squared test | ||||